Triple
T30467105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarter to Three |
E775174
|
entity |
| Predicate | associatedProducerScene |
—
|
GENERATED |
| Object | Norfolk sound of Frank Guida |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProducerScene Context triple: [Quarter to Three, associatedProducerScene, Norfolk sound of Frank Guida]
-
A.
associatedProducerCollective
Indicates a relationship where an entity is linked to, or works in connection with, a specific producer collective.
-
B.
associatedProduction
Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
-
C.
associatedWithKeyScene
Indicates that something is linked or connected to a specific key scene, typically as a relevant element, feature, or reference.
-
D.
sceneAssociation
Indicates a contextual or thematic relationship linking entities that co-occur or interact within the same scene.
-
E.
isAssociatedWithLabelScene
Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:11 p.m.